iPad17,2
Geekbench AI Score
5281
Single Precision Score
8602
Half Precision Score
6789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.8 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3291
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11289
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20947
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17782
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4236
337.2 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15337
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10595
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27452
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41359
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33815
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5915
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7121
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5106
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9514
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9432
163.0 IPS |
